Implementation of Point Symmetry-based Automatic Clustering
Approach Using Differential Evolution

Using bug fixed KD tree nearest neighbor search from https://github.com/CristianDallos/kmeansclustering. (It is also modified to search for multiple nearest points instead only for one.)

Used those academic works for algorithm implementation:

http://cs.cug.edu.cn/teacherweb/gwy/Publication/ISICA-09.pdf

http://www.isical.ac.in/~sanghami/ieeetkde_cameraready.pdf

http://www.softcomputing.net/smca-paper1.pdf

1. You may download code:
git clone git://git.code.sf.net/p/pointsymmetryclustering/code pointsymmetryclustering-code
2. Build:
mvn clean install assembly:assembly -DskipTests -Dmaven.test.skip=true -DdownloadSources=true -Dcheckstyle.skip=true
3. Run:
java -jar target/point-symmetry-clustering-1.0-fat.jar

Project Activity

See All Activity >

License

Creative Commons Attribution License

Follow Point Symmetry Clustering

Point Symmetry Clustering Web Site

Other Useful Business Software
PRTG Catches Network Issues Before They Cause Downtime Icon
PRTG Catches Network Issues Before They Cause Downtime

Threshold-based alerts flag problems early, so your team can act before users notice, not after.

Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
Download 30-Day Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Point Symmetry Clustering!

Additional Project Details

Intended Audience

Education

Programming Language

Java

Related Categories

Java Genetic Algorithms

Registered

2014-04-05